The relationship between edit categories (rejected/accepted) and their corresponding feature values might be complex. Thus, we choose the following four popular machine learning classification techniques with different learning strategies to identify the potential rejected edits. They are widely used in the relevant studies [1]}, [2]}, [3]}, [4]}.
